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All Journal Geo Media: Majalah Ilmiah dan Informasi Kegeografian Ecotrophic, Journal of Environmental Science Jurnal Wilayah dan Lingkungan GEA, Jurnal Pendidikan Geografi Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Ilmu Kehutanan Journal of Geographical Sciences and Education Jurnal Geosaintek
Aldiansyah, Septianto
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Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Social Sciences

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Monitoring of Vegetation Cover Changes With Geomorphological Forms using Google Earth Engine in Kendari City Aldiansyah, Septianto; Mandini Mannesa, Masita Dwi; Supriatna, Supriatna
Jurnal Pendidikan Geografi Gea Vol 21, No 2 (2021)
Publisher : Indonesia University of Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v21i2.37070

Abstract

Vegetation cover plays an important role in controlling the view, boundaries, air temperature, living place and aesthetics in an area. Vegetation cover changes can be caused by changes in temperature, rainfall and human activities. Google Earth Engine (GEE) provides machine learning algorithms such as NDVI which are very useful in extracting vegetation density levels from imagery. The purpose of this study was to analyze vegetation cover changes by human activities in relation to the geomorphological form of Kendari City. The imagery used in multi-temporal monitoring are Landsat-7 ETM in 2000, Landsat-5 TM in 2005 and 2010 and Landsat 8 OLI in 2015 and 2020. Input machine learning using near infrared (NIR) and red (Red) for the NDVI Algorithm while the geomorphological form uses SRTM imagery. The classification of vegetation cover consists of water bodies, open field, built areas and roads covered with asphalt, paving or soil, plantations/agriculture, bushes, grass, reeds, green open space and forests. Each sub-district experienced a decrease in vegetation cover in the form of plantations/agriculture, bushes, grass, reeds, green open space except for the West Kendari District which tended to be varied. The forest area is getting better every year. The existence of protected forests and geomorphological forms such as lowlands are the driving factors for changes in vegetation cover, while low hills and high hills are flat to steep are contrainst factors. Machine learning in GEE is very helpful in monitoring vegetation cover changes and has an NDVI algorithm that is quite easy to apply.
MAPPING OF OLDEMAN AGRO-CLIMATIC ZONE BASED ON CLIMATE HAZARDS GROUP INFRARED PRECIPITATION WITH STATION DATABASE IN SOUTHEAST SULAWESI Aldiansyah, Septianto; Risna, Risna
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 17 No 2 (2023)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJES.2023.v17.i02.p02

Abstract

Long climate data information will be very useful for the sustainable agricultural sector in determining physiological processes, growth to plant productivity. The Climate Hazard Group Infrared Precipitation with Station (CHIRPS) data is used as a rainfall database for the latest Oldeman agro-climatic zone mapping in Southeast Sulawesi Province. CHIRPS data for 1981-2021 was processed using the Inverse Distance Weighted and Overlay interpolation methods through the Geographic Information System. The results showed that there were thirteen Oldeman agro-climatic zones in Southeast Sulawesi Province, namely B1 (23,71%), B2 (1,97%), B3 (0,22%), C1 (13,48%), C2 (23,21%), C3 (4,64%), D1 (7,36%), D2 (16,71%), D3 (1,28%), D4 (0,00%), E1 (2,92%), E2 (2,32%), dan E3 (2,18%). Zones B1, B2, and B3 are in the northwest, east, and southeast of the area which are very suitable for cultivating two paddy crops followed by planting various types of secondary crops (palawija) during the dry season. Zones C1, C2, and C3 which stretch from west to east are suitable for one-time planting of paddy and two crops of palawija crops. Zones D1, D2, D3, and D4 are spread from the northwest to the southwest to most areas of Muna Island and Buton Island which are suitable for one short-lived paddy planting and one paddy or palawija crop. The agro-climatic zones E (E1, E2, and E3) in the northwest and southwest are only suitable for one crop of palawija crop, depending on rain. The resulting agro-climate map can be used as a reference for cropping patterns that are suitable for the region of Southeast Sulawesi Province. Keywords: Agro-Climatic; CHIRPS; Oldeman; Southeast Sulawesi
Strategi Dompet Dhuafa Dalam Pemberdayaan Masyarakat Miskin di Provinsi Jawa Timur Putri, Annisa; Pambudi, Bayu Prasetyo; Aldiansyah, Septianto; Ristrianti, Yusniar Rah Ayu
Journal of Geographical Sciences and Education Vol 2 No 2 (2024): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v2i2.96

Abstract

Dompet Dhuafa is a philanthropic institution sourced from funds from zakat, infaq, alms, and waqf as well as other halal funds aimed at empowering the poor through humanitarian activities and social entrepreneurship. Dompet Dhuafa takes part in community empowerment through activities aimed at reducing poverty in East Java by the second goal of the Sustainable Development Goals (SDGs). The data collection used in this study is a literature study based on available references. Dompet Dhuafa has various programs that can be implemented in East Java, namely the Poor Community Empowerment Program by providing training to improve skills. This program is also in line with the RPJPD, RPJMD, and RTRW of East Java Province. However, the dependence of recipients on assistance makes the community not independent. In addition, there is a thought from the recipient that the business capital lent by Dompet Dhuafa is not obligatory to be returned so the recommendations that can be given are that the recipient is expected to be more enthusiastic and participative.  
Kajian dan prediksi perubahan Tutupan Lahan menggunakan Cellular Automata-Markov Chain di Kota Unaaha Aldiansyah, Septianto; Supriatna, Supriatna
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 22 No. 1 (2024): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v22i1.52278

Abstract

Kota Unaaha memiliki letak yang strategis karena berada di jalan lintas provinsi, pusat kegiatan ekonomi, hingga industri. Pertumbuhan ekonomi cukup pesat dibanding wilayah lain di Kabupaten Konawe sehingga dapat menyebabkan konversi lahan dimasa depan. Penelitian ini bertujuan untuk menganalisis perubahan tutupan lahan di Kota Unaaha dari tahun 2006-2021 dan memprediksi tutupan lahan pada tahun 2036. Metode yang diterapkan pada penelitian ini adalah Cellular Automata Markov Chain untuk memprediksi perubahan tutupan lahan tahun 2036. Hasil penelitian menunjukkan bahwa jenis tutupan lahan permukiman dan daerah pertanian terus meningkat, sedangkan perairan, lahan terbuka dan daerah bervegetasi mengalami penurunan. Pada tahun 2036, kawasan permukiman dan pertanian akan bertambah masing-masing hingga seluas 1.279,42 ha dan 1074,14. Perubahan ini sejalan dengan rencana tata ruang Kota Unaaha sebagai Kota Agropolitan khususnya pada tutupan lahan daerah pertanian, namun cenderung menyimpang pada kawasan permukiman. Perencanaan tata ruang perlu untuk ditindaklanjuti untuk agar kota dapat lebih berkelanjutan di masa depan.
PEMETAAN WILAYAH KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN CITRA MODIS (Studi Kasus: Provinsi Sulawesi Tenggara) Aldiansyah, Septianto; Wahid, Khalil Abdul; Ningsih, Duwi Setiyo Wigati
Jurnal Geosaintek Vol. 8 No. 1 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

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Abstract

Fenomena kebakaran hutan dan lahan merupakan bencana alam yang perlu diwaspadai mengingat dampak pasca kebakaran yang ditimbulkan cukup kompleks mulai dari penurunan keanekaragaman hayati hingga kerusakan ekologis. Analisis risiko dan bahaya kebakaran sangat penting dan relevan sebagai dasar acuan dalam upaya penanggulangan daerah rawan kebakaran hutan dan lahan hingga ke tahap pasca kebakaran. Penelitian ini bertujuan untuk memperoleh sebaran risiko kebakaran dan menganalisis bahaya kebakaran hutan dan lahan di Provinsi Sulawesi Tenggara dengan mengintegrasikan Penginderaan Jauh dan Sistem Informasi Geografis. Metode yang digunakan adalah Kernel Density untuk mendapatkan sebaran risiko kebakaran dengan memanfaatkan data titik panas (hotspot) dan bahaya kebakaran menggunakan metode skoring dan pembobotan berdasarkan Perka No.12 Tahun 2012. Hasil penelitian menunjukkan bahwa dalam 10 tahun terakhir terdapat 1.869 titik panas yang terdeteksi oleh Citra MODIS dengan puncak titik panas terjadi di tahun 2015 yang diakibatkan oleh fenomena El Nino. Wilayah yang beresiko mengalami kebakaran hutan dan lahan adalah Bombana , Kolaka dan Konawe. Kabupaten/Kota yang memiliki indeks bahaya kebakaran yang tinggi berada di Kabupaten Bombana (151.860,88 ha), Buton (139.632,45 ha) dan Konawe Selatan (110.582,52 ha). Peta bahaya kebakaran memiliki akurasi 60,15% dan cukup baik untuk digunakan sebagai sumber informasi kebakaran hutan dan lahan di Provinsi Sulawesi Tenggara.
Pemetaan Kerawanan Banjir di Daerah Aliran Sungai (DAS) Bendo Kabupaten Banyuwangi Berbasis Sistem Informasi Geografis Madani, Ilyas; Bachri, Syamsul; Aldiansyah, Septianto
Jurnal Geosaintek Vol. 8 No. 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

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Abstract

DAS Bendo adalah sebagian daerah yang berkontribusi terhadap kejadian banjir di Kabupaten Banyuwangi. Guna mengetahui tingkat kerawanan banjir di DAS Bendo dipakai parameter curah hujan, kemiringan lereng, jenis tanah, penggunaan lahan, ketinggian lahan, dan kerapatan sungai dalam penelitian ini. Metode scoring dan overlay digunakan untuk mengolah parameter melalui software ArcGIS 10.4 sehingga dapat dihasilkan peta tingkat kerawanan banjir. Peta yang dihasilkan cukup akurat dengan menunjukkan tiga tingkat kerawanan banjir di DAS Bendo yaitu tidak rawan, cukup rawan, dan sangat rawan. Daerah tidak rawan banjir berada di bagian hulu DAS sebesar 30%/12,0km2. Daerah rawan banjir sebesar 43%/17,3km2 berada pada bagian tengah DAS. Sementara itu, daerah sangat rawan banjir berada pada bagian hilir DAS sebesar 27%/10,7km2. Tingkat kerawanan banjir tersebut dominan dipengaruhi oleh kemiringan lereng di DAS Bendo.
Pemodelan Kesesuaian Habitat Mandar Gendang (Habroptila wallacii) di Pulau Halmahera, Indonesia Aldiansyah, Septianto; Madani, Ilyas; Risna, Risna; Saputra, Randi Adrian
Jurnal Ilmu Kehutanan Vol 19 No 2 (2025): September
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jik.v19i2.18437

Abstract

Drummer Rail (Habroptila wallacii) is a bird species of the Rallidae family with limited ecology and behavior information. The information on the distribution of H. wallacii in Halmahera Island is crucial as it is classified as a vulnerable species. Therefore, this research aims to predict the potential distribution of H. wallacii on Halmahera Island using the Maximum Entropy (MaxEnt) modeling method, which projects species distributions based on presence data and environmental variables. A total of 47 data points on H. wallacii encounters were obtained from open-access data sources and field observation. The variables used were land use land cover (LULC), normalized difference vegetation index (NDVI), elevation, slope, and proximity data (river). The results showed that 33.52% of the area was very suitable for H. wallacii habitat, 32.97% was suitable, and 33.50% was unsuitable. Approximately 29.39% of the suitable habitat was located in limited-production forest areas, while conservation areas covered only 5.19%. These results suggested the need to review spatial planning policies to increase protection of the natural habitat of the species. The results could serve as considerations and recommendations for the Ministry of Environment and Forestry regarding the future management of forest areas for these species.
Evaluation of Regional Spatial Development on Landslide and Flood Prone with Actual Site Conditions in Kendari City Aldiansyah, Septianto; Ningsih, Duwi Setiyo Wigati; Saputra, Randi Adrian
Jurnal Wilayah dan Lingkungan Vol 11, No 1 (2023): April 2023
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jwl.11.1.92-107

Abstract

Kendari City is an area that has a high level of vulnerability to landslides and floods. The high intensity of rainfall and the geomorphological form of the area make Kendari City almost every year landslides and floods occur. This study aims to analyze the distribution of landslide and flood susceptibility and its suitability to the actual situation and evaluate the spatial pattern plan, especially in settlement areas. The method used is survey-based scoring and weighting. Overlay technique used in this study on physical variables including geological conditions, slope, rainfall, land use, soil type and distance from the river. The results show that areas in Kendari City are prone to landslides and floods respectively 79.33% and 81.75% with variations in the level of moderate and high vulnerability. Moderate vulnerability dominates in both disasters with an area of 165.80 km2 and 165.70 km2. The suitability between the map and the actual situation reached 80.63% and 91.30%. Most of the spatial pattern plans, especially settlements that have been made and determined by the government, are appropriate for regional development in Kendari City. Evaluation of spatial patterns of landslide and flood prone zones shows that a small proportion of high vulnerability zones are in the delineation of settlement areas with suitability levels reaching 93.05% and 76.45%.
Optimalisasi Persiapan OSN Geografi Melalui Gamifikasi Digital Berbasis Kahoot dan Slido di MAN 1 Konawe Selatan Hasanah, Nur; Irsan, Laode Muhamad; Pati B, Abdul Jabbar; Ati, Amniar; Sudirman, Andi Sulia; Aldiansyah, Septianto
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7198

Abstract

Program Pengabdian kepada Masyarakat (PKM) ini dilaksanakan di MAN 1 Konawe Selatan dengan tujuan mengoptimalkan persiapan siswa menghadapi Olimpiade Sains Nasional (OSN) Geografi melalui penerapan gamifikasi digital berbasis Kahoot! dan Slido. Permasalahan yang diidentifikasi adalah metode pembimbingan OSN yang masih didominasi ceramah dan latihan soal konvensional, yang menyebabkan kejenuhan serta rendahnya motivasi belajar siswa. Penelitian ini menggunakan metode Participatory Action Research (PAR) dengan tahapan; identifikasi masalah, perencanaan, pretest, implementasi gamifikasi digital, observasi dan pendampingan, posttest, serta refleksi bersama guru dan siswa. Hasil pretest menunjukkan rata-rata skor siswa 62,4, dengan dominasi kategori rendah dan sedang. Setelah implementasi gamifikasi digital, rata-rata skor meningkat menjadi 74,6, dengan peningkatan proporsi siswa pada kategori tinggi. Evaluasi respon siswa menunjukkan 47% lebih memilih gamifikasi digital, 33% kombinasi gamifikasi dan soal konvensional, dan 20% tetap memilih metode konvensional. Temuan ini membuktikan bahwa penggunaan Kahoot! dan Slido tidak hanya meningkatkan motivasi, partisipasi, dan rasa percaya diri siswa, tetapi juga menjadi strategi pembimbingan interaktif dan berkelanjutan. Dengan demikian, gamifikasi digital direkomendasikan sebagai bagian dari upaya optimalisasi bimbingan OSN Geografi di MAN 1 Konawe Selatan.
Co-Authors Ati, Amniar Irsan, Laode Muhamad Madani, Ilyas Mandini Mannesa, Masita Dwi Ningsih, Duwi Setiyo Wigati Nur Hasanah Nuri Aslami Pambudi, Bayu Prasetyo Pati B, Abdul Jabbar Risna Risna, Risna Ristrianti, Yusniar Rah Ayu Saputra, Randi Adrian Sudirman, Andi Sulia Supriatna Supriatna Syamsul Bachri Wahid, Khalil Abdul